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Case Study on Dealing with Missing Values

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Clinical Prediction Models

Part of the book series: Statistics for Biology and Health ((SBH))

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Abstract

A case study is presented on prognostic modeling in patients with moderate and severe traumatic brain injury (TBI). Individual patient data from several studies were available to: (a) quantify predictor effects; (b) develop and validate prognostic models. Missing values were a key issue. Some values were systematically missing per study, since few studies recorded all predictors of interest. The use of single and multiple imputation methods is illustrated with a detailed description of the analyses in R software.

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Notes

  1. 1.

    These statistics are averaged over the 10 model fits.

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Correspondence to Ewout W. Steyerberg PhD .

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© 2019 Springer Nature Switzerland AG

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Steyerberg, E.W. (2019). Case Study on Dealing with Missing Values. In: Clinical Prediction Models. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-030-16399-0_8

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